Integrating data on DNA copy number with gene expression levels and drug sensitivities in the NCI-60 cell line panel. - Wikidata - wikimedia - TriplyDB

Integrating data on DNA copy number with gene expression levels and drug sensitivities in the NCI-60 cell line panel.

Integrating data on DNA copy number with gene expression levels and drug sensitivities in the NCI-60 cell line panel.

http://www.wikidata.org/entity/Q31038779

about

An integrative genomic and proteomic approach to chemosensitivity prediction Putative DNA/RNA helicase Schlafen-11 (SLFN11) sensitizes cancer cells to DNA-damaging agents Cancer Cell Line Panels Empower Genomics-Based Discovery of Precision Cancer Medicine The consequences of chromosomal aneuploidy on the transcriptome of cancer cells In vitro human cell line models to predict clinical response to anticancer drugs Using drug response data to identify molecular effectors, and molecular "omic" data to identify candidate drugs in cancer Multiple-platform data integration method with application to combined analysis of microarray and proteomic data Integrative analysis of proteomic signatures, mutations, and drug responsiveness in the NCI 60 cancer cell line set Pharmacogenomic discovery using cell-based models Gemcitabine and arabinosylcytosin pharmacogenomics: genome-wide association and drug response biomarkers Identification of a predominant co-regulation among kinetochore genes, prospective regulatory elements, and association with genomic instability Consensus-phenotype integration of transcriptomic and metabolomic data implies a role for metabolism in the chemosensitivity of tumour cells An integrative genomic and transcriptomic analysis reveals potential targets associated with cell proliferation in uterine leiomyomas NCI-60 whole exome sequencing and pharmacological CellMiner analyses High resolution copy number variation data in the NCI-60 cancer cell lines from whole genome microarrays accessible through CellMiner Development of a Drug-Response Modeling Framework to Identify Cell Line Derived Translational Biomarkers That Can Predict Treatment Outcome to Erlotinib or Sorafenib Public data and open source tools for multi-assay genomic investigation of disease Exon array analyses across the NCI-60 reveal potential regulation of TOP1 by transcription pausing at guanosine quartets in the first intron Inferences of drug responses in cancer cells from cancer genomic features and compound chemical and therapeutic properties A community effort to assess and improve drug sensitivity prediction algorithms.Flexible and accurate detection of genomic copy-number changes from aCGH.Derivation of induced pluripotent stem cells from orangutan skin fibroblasts.A Bayesian Graphical Model for Integrative Analysis of TCGA Data.MDP, a database linking drug response data to genomic information, identifies dasatinib and statins as a combinatorial strategy to inhibit YAP/TAZ in cancer cells A modular approach for integrative analysis of large-scale gene-expression and drug-response data.Database of Trypanosoma cruzi repeated genes: 20,000 additional gene variants Global associations between copy number and transcript mRNA microarray data: an empirical study.CellMiner: a relational database and query tool for the NCI-60 cancer cell lines.Integrative analysis of gene expression and copy number alterations using canonical correlation analysis.DNA fingerprinting of the NCI-60 cell line panel.Multifactorial regulation of E-cadherin expression: an integrative study.An integrated analysis of molecular aberrations in NCI-60 cell lines.The glutaminase activity of L-asparaginase is not required for anticancer activity against ASNS-negative cells.A multivariate approach to the integration of multi-omics datasets Integrated analysis of gene expression and copy number data on gene shaving using independent component analysis mRNA and microRNA expression profiles of the NCI-60 integrated with drug activities Asparagine synthetase: a new potential biomarker in ovarian cancer.Integrated genomics of ovarian xenograft tumor progression and chemotherapy response.Asparagine synthetase is a predictive biomarker of L-asparaginase activity in ovarian cancer cell lines.Permissivity of the NCI-60 cancer cell lines to oncolytic Vaccinia Virus GLV-1h68

P2860

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P2860

Integrating data on DNA copy number with gene expression levels and drug sensitivities in the NCI-60 cell line panel.

http://www.wikidata.org/entity/Q31038779

description

2006 nî lūn-bûn

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2006 թուականի Ապրիլին հրատարակուած գիտական յօդուած

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2006 թվականի ապրիլին հրատարակված գիտական հոդված

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2006年の論文

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2006年論文

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2006年論文

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2006年論文

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2006年論文

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2006年論文

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2006年论文

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name

Integrating data on DNA copy n ...... in the NCI-60 cell line panel.

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Integrating data on DNA copy n ...... in the NCI-60 cell line panel.

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Integrating data on DNA copy n ...... in the NCI-60 cell line panel.

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Integrating data on DNA copy n ...... in the NCI-60 cell line panel.

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Integrating data on DNA copy n ...... in the NCI-60 cell line panel.

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Integrating data on DNA copy n ...... in the NCI-60 cell line panel.

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1535-7163.MCT-05-0155

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Molecular Cancer Therapeutics

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Integrating data on DNA copy n ...... in the NCI-60 cell line panel.

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Ajay Jain

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Ajay

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Anna Roschke

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Colin Collins

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Dominic A Scudiero

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Ilan Kirsch

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Jane Fridlyand

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P2860

Modification of the human thymine-DNA glycosylase by ubiquitin-like proteins facilitates enzymatic turnover

Statistical significance for genomewide studies

Comparing cDNA and oligonucleotide array data: concordance of gene expression across platforms for the NCI-60 cancer cells

MatchMiner: a tool for batch navigation among gene and gene product identifiers

GoMiner: a resource for biological interpretation of genomic and proteomic data

Systematic variation in gene expression patterns in human cancer cell lines

High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarrays

A gene expression database for the molecular pharmacology of cancer

Proteomic profiling of the NCI-60 cancer cell lines using new high-density reverse-phase lysate microarrays.

Fully automatic quantification of microarray image data

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853-867

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10.1158/1535-7163.MCT-05-0155

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4

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Kimberly J Bussey

William Reinhold

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7131911

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